This new clustering method absorbs merits of the selection-based CLARA clustering algorithm and the new NCL clustering algorithm, which overcomes the low efficiency of traditional case retrieval algorithms when CB gets very large.

• 二是结合基于选择的CLARA聚类方法和NCL聚类算法的优点，给出了一种无监督下对范例进行准确归类聚类学习算法，该方法能大大地提高范例提取的速度和质量；